Neuralhub
A collaborative platform for designing, experimenting with, and sharing neural networks.
Neuralhub Introduction
What is Neuralhub?
Neuralhub is a platform designed to help AI researchers, students, and engineers better design neural networks. It provides tools, libraries, and a playground for experimentation, building, and inventing new architectures, which can then be shared on the platform. Neuralhub aims to simplify deep learning by bringing tools, research, and models into a collaborative space, making AI research, learning, and development more accessible.
How to use Neuralhub?
Neuralhub offers a four-stage process: Build neural networks from scratch or use existing components; Tune hyperparameters visually; Run training on dedicated ML services; Launch, share, and benchmark models on the platform.
Why Choose Neuralhub?
Choosing this is a good idea if you want a hub for neural network tools that can help you build or experiment with AI models without much hassle.
Neuralhub Features
AI Developer Tools
- ✓Neural network design and experimentation tools
- ✓Library of network components, layers, and architectures
- ✓Visual hyperparameter tuning
- ✓Dedicated ML services for training
- ✓Platform for sharing and benchmarking models
FAQ?
Pricing
Pricing information not available
